10.5 Liquidity, Due Diligence, and Performance Measurement
Key Takeaways
- Liquidity risk in alternatives includes lock-ups, notice periods, gates, side pockets, capital calls, and limited secondary markets.
- Due diligence covers investment process, people, portfolio risk, operations, valuation policy, fees, legal terms, and service providers.
- Appraisal-based and model-based valuations can smooth returns and bias volatility, correlation, beta, and Sharpe ratio estimates.
- Performance analysis should adjust for fees, leverage, survivorship bias, backfill bias, stale prices, and cash-flow timing.
- IRR, money multiples, time-weighted returns, and public-market equivalents answer different performance questions.
Liquidity as a risk factor
Liquidity is the ability to convert an investment to cash at a reasonable price within a required time. Many alternatives intentionally trade liquidity for expected return, access, or manager flexibility. That trade can make sense for a long-horizon investor, but it is dangerous for an investor with near-term spending needs.
Liquidity terms appear in many forms. A lock-up prevents redemption for a stated period. A notice period requires investors to request withdrawals in advance. A gate limits the amount that can be redeemed at one time. A side pocket separates illiquid assets. A private fund capital call requires investors to provide cash when the manager requests it.
Due diligence scope
Alternative investment due diligence has investment and operational parts. Investment due diligence asks whether the strategy can earn returns after fees and risks. Operational due diligence asks whether the organization can execute, value, control, and report the strategy without unacceptable failure risk.
| Area | Key question | Example evidence |
|---|---|---|
| People | Who makes decisions and can the team survive turnover? | Tenure, incentives, ownership, succession plan |
| Process | Is the strategy repeatable and consistent with the mandate? | Research files, trade examples, risk reports |
| Portfolio | What risks actually drive returns? | Exposure, leverage, liquidity, concentration, stress tests |
| Area | Key question | Example evidence |
|---|---|---|
| Operations | Are assets, trades, and cash controlled independently? | Custodian, administrator, auditor, reconciliation |
| Valuation | Who marks hard-to-price assets? | Pricing policy, valuation committee, third-party marks |
| Terms | Do fees and liquidity match the strategy? | Fund documents, side letters, redemption terms |
A strong track record is not enough. The investor should test whether returns came from skill, beta exposure, leverage, illiquidity, or luck. The investor should also ask if the strategy has become too large, too crowded, or too dependent on one person or market condition.
Valuation and appraisal issues
Public securities are often marked using observable market prices. Many alternatives are marked using appraisals, broker quotes, models, or manager estimates. These methods may be reasonable, but they create uncertainty and possible smoothing. Smoothing lowers reported volatility and can lower reported correlation with public markets.
Stale pricing can also distort risk measures. Sharpe ratios may look better if the denominator, volatility, is understated. Betas may look lower if returns lag public market moves. During a market crisis, true economic correlation can rise even if historical reported correlation looked modest.
Performance measures and biases
Private funds often report internal rate of return and multiples. IRR is sensitive to timing and can be high when cash is returned quickly, even if total wealth creation is modest. Multiple of invested capital measures total cash returned relative to cash invested, but it does not show the time required to earn that multiple.
Time-weighted return removes the effect of external cash-flow timing and is useful for comparing public managers. Money-weighted return includes cash-flow timing and is often relevant for private funds. Public-market equivalent methods compare private investment cash flows with a public benchmark.
Database biases matter. Survivorship bias occurs when failed funds disappear from data. Backfill bias occurs when a manager adds earlier good returns to a database after deciding to report. Selection bias occurs because only some managers choose to report. These biases can make historical alternative returns look too attractive.
Structured aid: performance interpretation checklist
- Start with net-of-fee returns when available.
- Identify whether returns are time-weighted, money-weighted, IRR, or multiple based.
- Adjust the interpretation for leverage and liquidity.
- Ask whether valuations are market prices, appraisals, models, or manager estimates.
- Look for survivorship, backfill, and selection bias in the data set.
- Compare liquidity terms with the investor's cash needs.
Exam traps
A high IRR is not automatically better than a lower IRR if the cash invested, holding period, and reinvestment assumptions differ. A smooth return series is not automatically low risk. A strong gross return may be ordinary after management fees, incentive fees, expenses, and taxes.
Due diligence is not just asking the manager for a pitch book. It includes verifying operations, controls, service providers, legal terms, valuation methods, and risk exposures. The exam often favors the answer that looks behind reported returns.
Which liquidity term allows a hedge fund to limit the amount investors can withdraw during a redemption period?
Survivorship bias in a hedge fund database most likely causes historical performance to appear:
A private fund reports a very high IRR after quickly exiting a small initial investment. The main limitation of IRR is that it: